📜 Course Description

The aim of this course is to provide theoretical knowledge and practical skills about next-generation IoT applications. In this context, it is aimed to develop self-optimizing semi-autonomous architectures and mechanisms by enabling the development of deep learning models based on fog and edge computing approaches. Also, new perspectives will be opened by presenting theoretical information about next-generation IoT application areas such as Artificial intelligence (AI) and tactile IoT.

Instructor: Assist. Prof. İbrahim KÖK | Google Scholar | ResearchGate | LinkedIn |

Email: [email protected]

Office: MA-K2-28

Office Hours: Appointment by email

Lecture: 14.30 - Monday

SUNUM TARİHLERİ

Vize Final Sunum Tarihleri.pdf

Final Proje Konuları ** YENİ **

2024_FinalProjects_.pdf

Vize sınavı Makale Atamaları

2024_IoT Makale Atamaları.pdf


Makale Havuzu (Vize Sunum Makalesi)

Ders (vize-final) hakkında açıklama

Course Schedule

This course schedule provides a thorough list of weekly topics, readings, and exams. Click All to switch to week, exam, or calendar view.

Schedule

📚 Materials and Possible Project Topics

Cource Materials

Possible Project Topics (Project Proposal Deadline: 06/10/2021-Week3)

🏆 Grading

Exams

Midterm: 40% (Article Presentations-oral/offline record and .pptx)

Final Exam: 60% (Implementation or Research Project Presentation and Report/Article )

Scale

Final Project Article: The final exam will consist of the project and the project article written in IEEE format. (Docx A4 or LateX)